Abusive Dating Charts

This Infographic Explore the Threats and Insults Exchanged Via Tinder

While Tinder might be a great app to meet people through it also opens up a space for unwanted attention, unrequited advances and even verbal abuse as this dating chart put together by Instant Checkmate and the background checking data the site sources. The 'Most Common Insults and Threads Men Send to Women on Tinder' analyses what goes on in the communication exchange between men and woman.

The infographic tallies a list of the ten most common insults, threats and outrageous comments along with what aspects the insults are geared towards and the types of personalities you might meet on Tinder. The macabre subject matter can be quite eye-opening to read but it does have some pretty harsh data.

While this infographic does raise important points about how we communicate, it does give a skewed male to female perspective when it can really go either way.

Online Dating Misconduct
Disruptive innovation opportunity: Develop AI-powered algorithms or moderation tools to detect and prevent abusive behavior in online dating platforms.
Data-driven Insights
Disruptive innovation opportunity: Create data analytics platforms or services that analyze communication patterns on dating apps and provide users with personalized safety recommendations.
Gender Equality in Online Dating
Disruptive innovation opportunity: Develop inclusive dating apps that actively promote and enforce respectful communication between all users, regardless of gender.

Where This Applies

Online Dating
Disruptive innovation opportunity: Introduce background check services within dating apps to provide users with more information and transparency before engaging in conversations.
Artificial Intelligence
Disruptive innovation opportunity: Apply natural language processing and sentiment analysis algorithms to automatically filter and flag abusive messages in online dating platforms.
Data Analytics
Disruptive innovation opportunity: Develop platforms or tools that analyze online dating data to identify patterns of misconduct and offer insights to dating app developers for improved user safety.
SCORE
6.1 out of 10
GENDER
50% Men50% Women
MARKETTop markets: North America
GENERATION
  • Gen Z
  • Gen Alpha
  • Gen X
  • Millennial (primary audience)
POPULARITY
Popularity 83%
Activity 92%
Freshness 8%